multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
London, England, United Kingdom Hybrid / WFH Options
Replika
cloud and hybrid infrastructure including AWS, GCP, and on-premises environments. Experience with MLOps tooling such as MLFlow, Kubeflow, DataRobot, or similar platforms for ML lifecycle management. Experience with containerization and orchestration (Docker, Kubernetes) specifically for ML workloads and GPU clusters. Deep understanding of CI/CD pipelines for machine learning applications and model deployment automation. Experience with specialized monitoring More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
continuous delivery Collaborate closely with operations to ensure high availability and performance of applications Core Technologies: Python (Django, FastAPI, Flask), Node.js Relational and non-relational databases (e.g. SQL, MongoDB) Containerisation with Docker, Git, CI/CD pipelines Cloud orchestration tools such as Kubernetes and Terraform We are looking for someone with: Strong experience in production-level Python development A background More ❯
The ideal candidate will be responsible for defining API specifications, integrating APIs with various services, and ensuring high availability and performance. This role requires strong experience in API security, containerisation, and Agile methodologies. Roles and Responsibilities Design, develop, and maintain high-quality API services, primarily HTTP REST-based. Define API specifications using OpenAPI and other industry standards. Develop APIs to More ❯
tools, and best practices. You are proficient in cloud platforms (Google Cloud Platform is preferred), infrastructure-as-code tools like Terraform. You have experience with CI/CD pipelines, containerization technologies (e.g., Docker), and orchestration tools (e.g., Kubernetes) and using orchestration tools such as Kubeflow (our preferred tool) or similar frameworks like Apache Airflow to manage and automate ML workflows. More ❯
explain technical concepts to both technical and non-technical audiences Ability to operate in a client-facing environment, contributing to multi-disciplinary teams and complex programmes Ideally, experience with containerisation technologies such as Docker and Kubernetes Exposure to Kimball data modeling, data architecture, and performance optimisation Experience delivering end-to-end solutions involving Azure data platform components If this role More ❯
web frameworks like FastAPI or Django. Proficiency in modern frontend development using TypeScript and frameworks such as Nuxt.js , Vue.js, or React. Strong experience with cloud platforms, particularly GCP , and containerization technologies like Docker . Proven experience designing and working with microservices architectures and RESTful APIs. Hands-on experience with CI/CD pipelines , especially GitHub Actions . Familiarity with databases More ❯
web frameworks like FastAPI or Django. Proficiency in modern frontend development using TypeScript and frameworks such as Nuxt.js , Vue.js, or React. Strong experience with cloud platforms, particularly GCP , and containerization technologies like Docker . Proven experience designing and working with microservices architectures and RESTful APIs. Hands-on experience with CI/CD pipelines , especially GitHub Actions . Familiarity with databases More ❯
Front-end: Angular, TypeScript Back-end: Java, Python, Spring Boot Database: MongoDB, PL/SQL,NOSQL API Development: RESTful APIs Version Control: Git CI/CD: TeamCity Docker and Containerization Monitoring and Logging (e.g., Prometheus, Grafana, ELK Stack) Security and Compliance Code Quality Tools (e.g., SonarQube) Agile Methodologies (Scrum or Kanban) Soft Skills: Team Collaboration : Ability to work effectively with More ❯
London, England, United Kingdom Hybrid / WFH Options
NEAR
throughput in high-frequency, low-latency real-time systems. Excellent problem-solving skills with the ability to think critically about complex challenges and drive technical solutions forward. Experience with containerization (Docker/Kubernetes) and deploying scalable, high-performance trading systems in cloud environments (AWS). COMPENSATION & PERKS Full-time salary based on experience and meaningful equity in an industry-leading More ❯
skills and ability to collaborate effectively with cross-functional teams. Desirable Skills • Experience with GCP and managing GKE Kubernetes clusters. • Familiarity with Argo CD for continuous delivery. • Knowledge of containerisation technologies such as Docker. • Understanding of cloud security best practices and identity management. Benefits of working at Canada Life We believe in recognising and rewarding our people, so we offer More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
multi-cloud experience valued) Experience with LLM deployment strategies - both managed services (Bedrock, OpenAI) and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI More ❯
London, England, United Kingdom Hybrid / WFH Options
CECG
Delivery Lifecycle Proficiency in at least one programming language, e.g. Java, Go, Python Knowledge of Cloud architecture and experience with at least one provider Familiarity with the concepts of Containerization and Container Orchestration Be a firm believer in “Everything-as-Code”, Immutable Infrastructure and Automation Good grasp of the trade-offs in distributed systems You can articulate a solution to More ❯
functionality through DevOps best practices Oversee and streamline the transition of financial institutions from on-premises to cloud environments, ensuring minimal downtime and maximizing efficiency Requirements Strong background in containerization technologies like Google Kubernetes Engine or similar products, service mesh technologies like Istio. Experience in Google Cloud ecosystem is preferred Expertise in automation tools such as Terraform, Github Actions or More ❯
at least one major relational database (preference for open-source where applicable). Cloud & DevOps Knowledge: Understanding of modern cloud platforms (AWS, Azure, GCP) and CI/CD workflows, containerization, and security best practices. Problem-Solving Mindset: Ability to translate ambiguous challenges into tangible prototypes and products, iterating based on stakeholder input. What We Offer: Remote-First Culture: Freedom to More ❯
Competent in XML/JSON/YAML Working knowledge NETCONF/REST/RESTCONF/SOAP (M) Working knowledge of Source control tools e.g., GitLab. (M) Working knowledge of containerisation (Docker Kubernetes) Ability to visualise customer requirements into a sequence of automatable steps (sequence diagram workflow diagram Jira stories). (M) Working appreciation of agile methodologies (scrum) Familiar with using More ❯
Nottingham, England, United Kingdom Hybrid / WFH Options
Commify
and development practices Desirable skills: Experience with additional front-end frameworks such as React or Vue.js Knowledge of accessibility and security compliance Experience in building micro-services and using containerization technologies like Docker Familiarity with Jest or other testing frameworks for front-end applications Benefits Competitive Salary Company Bonus scheme Comprehensive healthcare cash plan A generous 27 days of annual More ❯
as well as other AWS services including EC2, S3, and IAM Proficiency with Terraform for infrastructure as code implementation (brief Technical interview will include establishing Terraform proficiency) Experience with containerization using Docker and Amazon ECS Knowledge of AWS security best practices and IAM permission management Experience with version control systems, particularly Git and GitHub Provable scripting skills in Bash and More ❯
skills and ability to collaborate effectively with cross-functional teams. Desirable Skills • Experience with GCP and managing GKE Kubernetes clusters. • Familiarity with Argo CD for continuous delivery. • Knowledge of containerisation technologies such as Docker. • Understanding of cloud security best practices and identity management. Benefits of working at Canada Life We believe in recognising and rewarding our people, so we offer More ❯
